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AI-powered / EdTech Intelligence
Connect application discovery, license utilization, student activity, and AI usage with AI-powered insights. Give technology, curriculum, and district leaders a shared starting point for better-informed EdTech decisions.
A view inside the product
Illustrative sample data. The district overview connects adoption, instructional usage, AI activity, and license utilization in one summary.
Scroll horizontally to explore the screenshot, or open the full-size image for details.
Open full-size screenshot (opens in a new tab)Visibility with context
Start with the question your team needs to answer, then move from district-wide patterns to the schools, students, and applications behind them.
AI-powered discovery insights help prioritize applications for review using student reach, category, content risk, and approval status.
Pair purchased seats, active use, and license terms with AI-powered underutilization insights to prepare for renewal discussions.
AI-powered adoption and coverage insights help teams explore where digital tools are being used and where students may not be reached.
AI-powered narratives put detected AI tools, student adoption, interaction volumes, and approval posture into context for district review.
Built around your review
AI-powered insights help focus the work. Your team brings the educational, financial, and privacy context that makes the decision meaningful.
Use district, school, grade-band, and application views to understand the scope of observed activity.
Read narrative summaries, then inspect the underlying adoption, approval, license, or coverage information.
Use searchable inventories, CSV exports, and reporting controls to support conversations with curriculum, finance, and technology teams.
Apply your curriculum priorities, privacy review, procurement practices, and student support processes before taking action.
District context matters
AI-powered summaries help your teams focus their review. Connect observed use with instructional priorities, purchasing needs, and student privacy requirements. Application discovery and cataloging support district DPA review, with your team retaining approval and agreement decisions.
Questions, answered
District IT leaders can review application visibility and approval status. Curriculum teams can explore adoption and participation. Finance and procurement teams can compare license use with spending and renewal dates. AI-powered summaries give these teams a common place to begin.
Yes. The application discovery, license ROI, student engagement, and AI insights pages explain each area in detail. In a demo, discuss the capabilities, data coverage, and reporting views relevant to your district.
Adoption, interactions, and activity-derived screen time describe usage, not attention or learning outcomes. Pair these signals with instructional context when evaluating an application.
Keep exploring
AI-powered insights prioritize discovered applications by reach and risk, supporting catalog decisions and district DPA review.
AI-powered utilization insights help identify idle-spend candidates and prepare for application renewal decisions.
AI-powered adoption and coverage insights connect student activity, school comparisons, and screen-time context.
AI-powered narratives connect EdTech priorities with visibility into AI tools, student adoption, and usage trends.
Explore the broader K-12 reporting and analytics capabilities.
Add device performance and connectivity context to your review.
Explore the teacher portal and classroom visibility tools.
Learn about the separate student risk and safety capability.
Explore visibility into student digital activity for families.
Your district. Your questions.
Walk through the capabilities that matter to your district. Discuss application review, license information, reporting coverage, and the insights your teams need.